Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Location:</strong> Abu Dhabi, UAE</p><br><br> <p>Our client is a leading artificial intelligence organisation focused on building secure, enterprise-grade AI solutions that help businesses and governments solve complex, real-world challenges.</p><br><br> <p>They specialise in developing cutting-edge applications powered by advanced AI technologies, enabling knowledge workers and organisations to unlock the full potential of large-scale data and automation.</p><br><br> <p>With a strong focus on innovation, research, and responsible AI development, the company is dedicated to delivering impactful solutions across multiple sectors.<br> <br> As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning systems that power next-generation AI products.</p><br><br> <p>You will work closely with cross-functional teams to translate business requirements into scalable, production-grade AI solutions, particularly in the area of Generative AI and LLM-based systems.<br> <br> <strong>Key Responsibilities</strong></p><br><br> <br> <ul> <li>Model Development: Build, train, and deploy machine learning models to support advanced AI applications </li><li>Generative AI: Work with cutting-edge technologies including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) </li><li>System Design: Translate business use cases into scalable ML and AI solutions </li><li>Model Optimisation: Monitor performance, evaluate outputs, and continuously improve models in production </li><li>Data Pipelines: Design and maintain robust data pipelines to ensure high-quality inputs for ML models </li><li>Collaboration: Partner with engineering, product, and business teams to deliver impactful solutions </li></ul> <br> <strong>Requirements:</strong> <ul> <li> <p>5+ years’ experience in Machine Learning, Data Science, or related fields</p><br><br> </li><li> <p>Strong experience working with LLMs and fine-tuning techniques</p><br><br> </li><li> <p>Proficiency in Python (or similar programming languages)</p><br><br> </li><li> <p>Hands-on experience with ML frameworks such as:</p><br><br> <ul> <li>PyTorch </li><li>TensorFlow </li><li>scikit-learn </li></ul> </li><li> <p>Experience with Generative AI tools and frameworks, such as:</p><br><br> <ul> <li>LangChain </li><li>LlamaIndex </li><li>LangGraph </li><li>Vector databases (e.g. Weaviate) </li></ul> </li><li> <p>Proven track record of building production ML systems and solving real-world problems</p><br><br> </li><li> <p>Experience designing data pipelines and ML infrastructure</p><br><br> </li><li>Strong communication skills and ability to work across teams </li><li> Master’s or PhD in Computer Science, AI, Data Science, Statistics, or related field (preferred)<br> </li></ul> &nbsp;<br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Design, build, and maintain scalable and resilient microservices infrastructure, focusing on automation and self-healing capabilities.</li><li>Implement and manage CI/CD pipelines for microservices, ensuring rapid and reliable deployments with robust rollback strategies.</li><li>Proactively monitor microservices health, performance, and security, establishing SLOs/SLIs and implementing effective alerting mechanisms.</li><li>Develop and maintain comprehensive disaster recovery and business continuity plans for critical microservices applications.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of experience in SRE or DevOps roles, building and managing large-scale, high-availability systems across banking, fintech, e-commerce, or other data-intensive digital ecosystems.</p></li><li><p>Bachelor’s degree in Computer Science or equivalent technical experience.</p></li><li><p>Strong experience with Linux environments and performance troubleshooting.</p></li><li><p>Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies.</p></li><li><p>Proficiency with Kubernetes and container orchestration in microservices environments.</p></li><li><p>Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage.</p></li><li><p>Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and the ELK stack.</p></li><li><p>Experience implementing AI / ML-driven reliability or automation solutions (AIOps, anomaly detection, predictive alerting).</p></li><li><p>Practical understanding of CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).</p></li><li><p>Experience with Kafka, RabbitMQ, Redis, Aurora, and RDS databases.</p></li><li><p>Strong scripting or programming skills in Python, Bash, or Go. The Ideal Candidate</p></li><li><p>Organized, structured, and meticulous in approach.</p></li><li><p>Experienced in cross-functional collaboration and working with distributed teams.</p></li><li><p>Strong analytical mindset with excellent troubleshooting skills for complex production systems.</p></li><li><p>Calm and composed communicator under pressure, capable of leading during high-impact incidents.</p></li><li><p>Proactive problem-solver who anticipates issues and drives preventive improvements.</p></li><li><p>Passionate about AI-driven automation, observability, and reliability engineering.</p></li><li><p>Continuously learning, keeping up-to-date with cloud-native, microservices, and SRE best practices.</p></li><li><p>A collaborative and adaptable team player who thrives in a fast-paced, regulated environment and is passionate about building reliable, scalable systems that empower digital banking innovation.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Develop and customise applications within the Zoho ecosystem, including Zoho Creator, CRM, Books, People, Desk, Projects and other Zoho One applications.</p></li><li><p>Build custom workflows using Deluge scripting.</p></li><li><p>Design and implement API integrations between Zoho and third-party platforms.</p></li><li><p>Develop full stack web applications where required.</p></li><li><p>Create automation solutions that improve operational efficiency.</p></li><li><p>Troubleshoot and optimise existing systems.</p></li><li><p>Work directly with stakeholders to understand business requirements and deliver practical solutions.</p></li><li><p>Maintain technical documentation and development standards.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Essential:</strong></p><ul><li><p>Strong experience with Zoho Creator and Zoho CRM development.</p></li><li><p>Excellent knowledge of Deluge scripting.</p></li><li><p>Experience implementing Zoho One solutions.</p></li><li><p>API integration experience (REST/JSON/XML).</p></li><li><p>Full stack development experience using modern web technologies.</p></li><li><p>Strong SQL/database knowledge.</p></li><li><p>Excellent problem-solving skills.</p></li><li><p>Ability to work independently in a remote environment.</p></li><li><p>Strong written and spoken English.</p></li></ul><p><strong>Desirable:</strong></p><ul><li><p>Experience with JavaScript, Node.js, Python, PHP or similar technologies.</p></li><li><p>Experience with React or Vue.js.</p></li><li><p>Knowledge of Microsoft 365 and Azure integrations.</p></li><li><p>Experience working with Australian businesses.</p></li><li><p>Zoho certifications.<br><br><strong>What We Offer</strong></p><br><ul><li><p>Work remotely from Dubai while supporting an Australian company.</p></li><li><p>Opportunity to work across diverse projects and industries.</p></li><li><p>Direct collaboration with senior leadership and decision-makers.</p></li><li><p>Flexible working environment focused on outcomes.</p></li><li><p>Long-term career growth with future expansion opportunities in the UAE.</p></li><li><p>Exposure to enterprise-grade business automation and digital transformation projects.</p></li></ul><p>Important Eligibility Requirement</p><br></li><li><p><strong>Applicants must already have the legal right to live and work in the UAE.</strong></p><p>At this stage, <strong>SpaceTel is unable to provide visa sponsorship, employment visas, or relocation assistance.</strong> Candidates must hold a valid UAE residency visa and have the necessary work authorisation to undertake remote employment.</p><p>Why Join SpaceTel?</p><p>This is an opportunity to join a growing Australian technology company at an exciting stage of expansion. If you are passionate about Zoho, business automation, and building innovative solutions while enjoying the flexibility of remote work, we would love to hear from you.</p><br></li><li><p><strong>If you're ready to make an impact and grow with us, apply now with your CV and examples of Zoho projects or applications you've built.</strong></p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job Purpose</strong></span></p><br><p><span>Drive section delivery by reviewing strategic transportation projects and studies, ensuring compliant administration, and aligning activities and KPIs with excellence standards. Strengthen processes and policies. Sustain timely, accurate section outputs that support Transportation Foresight &amp; Planning.</span></p><br><p><span><strong>Roles and Responsibilities</strong></span></p><br><p><span><strong>Strategy</strong></span></p><br><p><span>Coordinate periodic reviews of activities and KPIs to ensure adherence to Dubai Government Excellence Program requirements.</span></p><br><p><span>Support in analyzing data and set targets for strategic public transport share KPIs in coordination with concerned agencies.</span></p><br><p><span>Support in identifying annual priorities and budgets for transportation infrastructure projects during budgeting cycles in coordination with project-owning departments and based on information from the Projects Portfolio Management Section.</span></p><br><p><span><strong>Operations</strong></span></p><br><p><span>Develop the DSTM technical manual and provide technical support and training related to the model inside and outside the Authority as needed.</span></p><br><p><span>Prepare list of major developers' projects and cost-sharing agreements between the Authority and developers in line with applicable law.</span></p><br><p><span>Provide technical support and participate in the review and follow-up of relevant strategic transportation projects and studies, including those of RTA entities and local/external (federal) parties.</span></p><br><p><span>Follow section tasks—projects, meetings, minutes, correspondence—ensure accuracy and timeliness, and maintain compliance of administrative processes with regulations and standards.</span></p><br><p><span><strong>Product/Process Improvement</strong></span></p><br><p><span>Participate in urban planning studies and projects aimed at encouraging mass transport and sustainable and soft mobility modes in coordination with concerned authorities.</span></p><br><p><span>Prepare transportation and road studies, legislations, and plans from external parties or concerned institutions.</span></p><br><p><span>Follow up the design, development, and update of section-level processes and policies to support effective delivery of Transportation Foresight &amp; Planning activities.</span></p><br><p><span><strong>Physical Working Conditions</strong></span></p><br><p><span>Primarily office-based role with frequent coordination meetings and workshops involving internal departments and external authorities</span></p><br> <p><span><strong>Qualifications</strong></span></p><br><p><span><span>·</span></span><span>Bachelor’s/Master’s in Transportation Engineering, Urban/Transport Planning, Civil Engineering, Transport Economics, Data Analytics</span></p><br><p><span><span>·</span></span><span>3+ years in case of Master’s degree (5+ years in case of Bachelor’s degree)</span></p><br><p><span><span>·</span></span><span>PMP/PRINCE2, advanced transport modelling (VISUM/VISSIM/EMME/CUBE), GIS (ArcGIS/QGIS), SQL/Python analytics, DGEP/KPI governance familiarity, stakeholder engagement &amp; technical reporting</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><u>GenAI &amp; Agentic AI Development :</u></b><br><br></span><ul><li><span>Design, develop, and deploy production-grade GenAI solutions using advanced LLMs such as OpenAI models.<br></span></li><li><span>Implement Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured enterprise data.<br></span></li><li><span>Design hybrid search architectures combining Vector DBs and Graph DBs such as Azure AI Search, Neo4j, and Databricks Vector Search.<br></span></li><li><span>Develop reusable AI components and frameworks that can be leveraged across multiple enterprise AI use cases. <br></span></li><li><span><u>Build Agentic AI workflows using frameworks such as LangChain, LangGraph, and Haystack, including:</u></span><br></li></ul><ol><li>Multi-agent orchestration including planner, retriever, evaluator, and executor agents.<br></li><li>Tool calling, function execution, and system-to-system automation.<br></li><li>Short-term, long-term, and session-based memory management.<br></li></ol><b><u>Data Validation &amp; Quality</u></b><br><br><ul><li><span>Perform end-to-end data validation before data is consumed by AI, ML, analytics, and decision-intelligence applications. <br></span></li><li><span>Validate data completeness, accuracy, consistency, freshness, aggregations, calculations, and business-rule alignment across source systems and downstream applications.<br></span></li><li><span>Work with business and data teams to validate KPIs, calculations, business rules, AI-generated insights, and recommendations before production release.<br></span></li><li><span>Develop automated data-quality checks, validation frameworks, anomaly detection, and reconciliation processes.<br></span></li><li><span>Identify data-quality issues and coordinate with Data Engineering and relevant teams for resolution.<br></span></li><li><span>Ensure AI-generated insights and recommendations are based on validated and trusted enterprise data.</span></li></ul><b><u>Full-Stack AI &amp; React Application Development</u></b><br><br><ul><li><span>Take hands-on ownership of end-to-end AI application development, from AI/ML services and APIs through user-facing applications. <br></span></li><li><span>Design and develop modern, responsive react-based web applications for AI, analytics, and decision-intelligence use cases.<br></span></li><li><span>Build interactive interfaces for AI insights, recommendations, conversational experiences, dashboards, visualizations, and actionable workflows.<br></span></li><li><span>Integrate React applications with AI/ML services, enterprise APIs, data platforms, authentication services, and backend systems.<br></span></li><li><span>Develop scalable backend services and APIs using Python and relevant API frameworks.<br></span></li><li><span>Ensure frontend and backend applications meet enterprise requirements for performance, security, scalability, usability, and maintainability.</span><br></li></ul><span><b><u>Individual Contribution &amp; Offshore Team Coordination</u></b></span><br><br><ul><li><span>Spend approximately 90% of the role as a hands-on Individual Contributor, directly involved in architecture, coding, development, debugging, testing, optimization, deployment, and production support. <br></span></li><li><span>Allocate approximately 10% of the role to coordinating and reviewing technical tasks delivered by the offshore team.<br></span></li><li><span>Review offshore team deliverables to ensure alignment with requirements, solution design, coding standards, and expected quality.<br></span></li><li><span>Perform code reviews, technical reviews, and functional validation of assigned offshore deliverables.<br></span></li><li><span>Provide clarification on technical requirements and tasks where required to support offshore delivery.<br></span></li><li><span>Track assigned technical tasks and highlight dependencies, quality issues, or delivery risks.<br></span></li><li><span>Work collaboratively with offshore AI Engineers, Data Engineers, Data Scientists, and Frontend Developers on integrated solution delivery.<br></span></li><li><span>Remain directly accountable for assigned hands-on development activities while supporting the quality and integration of offshore deliverables.<br></span></li></ul><span><b><u>Enterprise Integration &amp; Cloud Engineering</u></b><br></span><br><ul><li><span>Develop and integrate AI-powered applications, chatbots, and agents within the Azure ecosystem. <br></span></li><li><span>Integrate AI solutions with enterprise systems using APIs, event-driven architectures, and message brokers.<br></span></li><li><span>Build secure and scalable services leveraging Azure App Services, Azure Functions, AKS, Azure Cache for Redis, and related services.<br></span></li><li><span>Integrate applications with enterprise identity and access-management frameworks including authentication, authorization, RBAC, and data-level security.<br></span></li><li><span>Work closely with Cloud, Digital, Data Engineering, Architecture, Security, and Business teams for end-to-end solution delivery.<br></span></li></ul><span><b><u>Production Readiness, MLOps &amp; LLMOps</u></b></span><br><br><ul><li><span>Implement guardrails for hallucination control, data privacy, security, responsible AI, and output validation. <br></span></li><li><span>Ensure enterprise-grade governance including access control, auditability, monitoring, and compliance.<br></span></li><li><span>Monitor production performance across availability, latency, accuracy, reliability, and scalability.<br></span></li><li><span><u>Apply MLOps / LLMOps best practices across the lifecycle, including:</u> <br></span></li></ul><ol><li><span>Model and version management. <br></span></li><li><span>Prompt versioning and rollback.<br></span></li><li><span>CI/CD pipelines for AI applications.<br></span></li><li><span>Automated prompt, retrieval, API, and regression testing.<br></span></li><li><span>Monitoring, logging, tracing, and observability.</span><br></li></ol><b><u>Performance Optimization &amp; Continuous Improvement</u></b><br><br><ul><li><span>Analyze AI application and agent performance using metrics such as accuracy, response quality, latency, adoption, and task completion. <br></span></li><li><span>Optimize prompts, retrieval strategies, agent flows, APIs, database queries, and application performance based on actual usage.<br></span></li><li><span>Identify and resolve performance bottlenecks across data, AI, backend, database, and frontend layers.<br></span></li><li><span>Drive continuous improvement through experimentation, evaluation, monitoring, and user feedback.</span><br></li></ul><br><span>Requirements</span><ul><li><span>Strong hands-on understanding of LLMs, transformers, embedding, prompt engineering, context engineering, RAG, and evaluation techniques. <br></span></li><li><span>Experience building end-to-end GenAI and Agentic AI products from development through production deployment.<br></span></li><li><span>Hands-on experience with LangChain, LangGraph, Haystack, n8n, and Microsoft Copilot ecosystem or similar frameworks.<br></span></li><li><span>Practical experience designing multi-agent architectures and orchestrating reasoning, retrieval, tools, and actions.<br></span></li><li><span>Strong experience with Vector and Graph Databases, including Azure AI Search, Neo4j, and Databricks Vector Search.<br></span></li><li><span>Proven experience implementing RAG pipelines using structured and unstructured enterprise data.<br></span></li><li><span>Strong experience with data validation, data-quality checks, reconciliation, KPI validation, and business-rule validation.<br></span></li><li><span>Strong proficiency in Python, SQL, and Spark &amp; Hands-on experience developing React / JavaScript / TypeScript applications.<br></span></li><li><span>Experience developing APIs and backend services using FastAPI, Flask, or equivalent frameworks<br></span></li><li><span>Hands-on experience with PyTorch and/or TensorFlow.<br></span></li><li><span>Experience working with large-scale AI/ML systems in production environments.<br></span></li><li><span>Experience reviewing code and technical deliverables from distributed/offshore development teams.<br></span></li><li><span>Strong problem-solving skills across AI, data, backend, frontend, and enterprise system integration.<br></span></li></ul><b><u>Azure &amp; Data Platform Experience</u></b> <br><br><u>Hands-on experience with relevant Azure and enterprise data technologies, including:</u><br><br><ul><li><span>Azure OpenAI<br></span></li><li><span>Azure Data Factory (ADF)<br></span></li><li><span>Azure Databricks<br></span></li><li><span>Azure AI Search<br></span></li><li><span>Databricks Genie<br></span></li><li><span>Azure AI Document Intelligence<br></span></li><li><span>Azure App Services<br></span></li><li><span>Azure Functions<br></span></li><li><span>Azure Kubernetes Service (AKS)<br></span></li><li><span>Azure Cache for Redis<br></span></li><li><span>Azure Bot Service / Bot Framework<br></span></li><li><span>API Management<br></span></li><li><span>Microsoft Entra ID / Azure AD<br></span></li><li><span>CI/CD and DevOps tooling<br></span></li></ul><br> </div>

Job Description<br><br>Senior Associate Technology – Endur L2 Support<br><br>As a Senior Associate Technology, you will be responsible for providing functional and technical support for Endur applications within the energy and commodities trading domain. You will work closely with business users, production support teams, and technology stakeholders to investigate and resolve issues, ensure platform stability, monitor application performance, and support day-to-day trading operations.<br><br>Provides Level 2 functional and technical support for Endur, ensuring stable day-to-day trading operations, accurate P&L, and smooth EOD processing. Investigate and resolve Endur incidents across FO, MO, BO and Logistics; perform EOD monitoring and health checks; analyse recurring issues and drive permanent fixes; support UAT and regression testing; maintain SOPs and knowledge articles; act as SME for business users. The role requires strong Endur expertise, problem-solving skills, and the ability to manage incidents, service requests, and system enhancements while maintaining high service standards and operational excellence.<br><br>Qualifications<br><br>Skills & Experience<br><br>5+ years of experience in technology consulting, with a focus on Endur implementation and support. Exposure to Endur configuration, customization, and integration with third-party systems. Hands-on experience with Endur scripting, SQL, and database management. Strong understanding of energy and commodities trading, including risk management and regulatory compliance. Excellent problem-solving and analytical skills, with a strong attention to detail. Strong communication and stakeholder management skills, with the ability to work in a fast-paced, client-facing environment. Experience with Agile methodologies and project management tools.<br><br>Set Yourself Apart With<br><br>Experience with cloud-based Endur solutions and modernizing legacy systems. Knowledge of Python, Java, or other programming languages for Endur customization. Experience with data analytics and visualization tools for trading insights.<br><br>Additional Information<br><br>An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance.<br><br>Company Description<br><br>Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

<p>ey&nbsp;Responsibilities</p><ul><li><p>Manage&nbsp;AWS&nbsp;infrastructure&nbsp;across&nbsp;<strong>Production,&nbsp;Staging,&nbsp;and&nbsp;Development</strong>,&nbsp;including&nbsp;EC2,&nbsp;VPCs,&nbsp;subnets,&nbsp;security&nbsp;groups,&nbsp;IAM,&nbsp;and&nbsp;private&nbsp;networking.</p></li><li><p>Configure&nbsp;and&nbsp;maintain&nbsp;<strong>load&nbsp;balancers,&nbsp;Cloudflare,&nbsp;DNS,&nbsp;WAF,&nbsp;caching,&nbsp;DDoS&nbsp;protection,&nbsp;and&nbsp;VPN&nbsp;connectivity</strong>.</p></li><li><p>Deploy,&nbsp;configure,&nbsp;and&nbsp;manage&nbsp;<strong>Kafka&nbsp;and&nbsp;Redis</strong>,&nbsp;including&nbsp;Kafka&nbsp;topics,&nbsp;partitions,&nbsp;consumer&nbsp;groups,&nbsp;retention,&nbsp;Redis&nbsp;clustering,&nbsp;persistence,&nbsp;and&nbsp;performance&nbsp;tuning.</p></li><li><p>Deploy&nbsp;and&nbsp;operate&nbsp;<strong>Node.js/NestJS&nbsp;backend&nbsp;and&nbsp;Next.js&nbsp;frontend&nbsp;applications</strong>,&nbsp;including&nbsp;scaling,&nbsp;configuration,&nbsp;performance&nbsp;tuning,&nbsp;and&nbsp;zero-downtime&nbsp;deployments.</p></li><li><p>Build&nbsp;and&nbsp;maintain&nbsp;<strong>CI/CD&nbsp;pipelines</strong>&nbsp;with&nbsp;automated&nbsp;builds,&nbsp;testing,&nbsp;deployment&nbsp;gates,&nbsp;rollbacks,&nbsp;and&nbsp;release&nbsp;tracking.</p></li><li><p>Implement&nbsp;and&nbsp;maintain&nbsp;monitoring&nbsp;and&nbsp;observability&nbsp;using&nbsp;<strong>Prometheus&nbsp;and&nbsp;Grafana</strong>,&nbsp;including&nbsp;dashboards,&nbsp;alerts,&nbsp;and&nbsp;centralized&nbsp;log&nbsp;analysis.</p></li><li><p>Implement&nbsp;strong&nbsp;<strong>security&nbsp;and&nbsp;access&nbsp;controls</strong>,&nbsp;including&nbsp;IAM,&nbsp;least-privilege&nbsp;access,&nbsp;secrets&nbsp;management,&nbsp;encryption,&nbsp;network&nbsp;security,&nbsp;and&nbsp;secure&nbsp;remote&nbsp;access.</p></li><li><p>Design&nbsp;and&nbsp;maintain&nbsp;<strong>high-availability,&nbsp;backup,&nbsp;failover,&nbsp;recovery,&nbsp;and&nbsp;disaster-recovery</strong>&nbsp;mechanisms.</p></li><li><p>Monitor&nbsp;system&nbsp;performance,&nbsp;latency,&nbsp;capacity,&nbsp;resource&nbsp;utilization,&nbsp;and&nbsp;infrastructure&nbsp;costs.</p></li><li><p>Implement&nbsp;<strong>Infrastructure&nbsp;as&nbsp;Code&nbsp;(IaC)</strong>&nbsp;using&nbsp;Terraform&nbsp;or&nbsp;CloudFormation&nbsp;and&nbsp;configuration&nbsp;management&nbsp;using&nbsp;Ansible.</p></li><li><p>Manage&nbsp;Docker-based&nbsp;environments&nbsp;and&nbsp;support&nbsp;<strong>Kubernetes</strong>&nbsp;deployments.</p></li><li><p>Participate&nbsp;in&nbsp;<strong>incident&nbsp;response,&nbsp;troubleshooting,&nbsp;root-cause&nbsp;analysis,&nbsp;and&nbsp;post-incident&nbsp;improvements</strong>.</p></li><li><p>Develop&nbsp;automation&nbsp;scripts&nbsp;using&nbsp;<strong>Bash&nbsp;and&nbsp;Python</strong>.</p></li><li><p>Maintain&nbsp;clear&nbsp;infrastructure&nbsp;documentation&nbsp;and&nbsp;ensure&nbsp;environments&nbsp;are&nbsp;reproducible&nbsp;and&nbsp;auditable.</p></li><li><p>Support&nbsp;secure&nbsp;infrastructure&nbsp;for&nbsp;<strong>crypto&nbsp;exchange&nbsp;connectivity&nbsp;and&nbsp;blockchain-facing&nbsp;workloads</strong>.</p><ul><li><p><strong>anagement&nbsp;environments</strong>.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required&nbsp;Skills&nbsp;&&nbsp;Qualifications</p><ul><li><p><strong>5+&nbsp;years&nbsp;of&nbsp;hands-on&nbsp;experience</strong>&nbsp;in&nbsp;DevOps,&nbsp;SRE,&nbsp;Cloud&nbsp;Infrastructure,&nbsp;or&nbsp;a&nbsp;similar&nbsp;role.</p></li><li><p>Strong&nbsp;practical&nbsp;experience&nbsp;with&nbsp;<strong>AWS</strong>,&nbsp;especially:</p><ul><li><p>EC2</p></li><li><p>VPC</p></li><li><p>Subnets</p></li><li><p>Security&nbsp;Groups</p></li><li><p>IAM</p></li><li><p>Load&nbsp;Balancers</p></li><li><p>Multi-environment&nbsp;infrastructure</p></li></ul></li><li><p>Strong&nbsp;<strong>Linux&nbsp;administration&nbsp;and&nbsp;networking</strong>&nbsp;fundamentals&nbsp;including&nbsp;TCP/IP,&nbsp;DNS,&nbsp;VPN,&nbsp;and&nbsp;private&nbsp;networking.</p></li><li><p>Production&nbsp;experience&nbsp;with&nbsp;<strong>Kafka&nbsp;and&nbsp;Redis</strong>.</p></li><li><p>Experience&nbsp;operating&nbsp;<strong>Node.js&nbsp;applications</strong>;&nbsp;NestJS&nbsp;and&nbsp;Next.js&nbsp;experience&nbsp;is&nbsp;preferred.</p></li><li><p>Strong&nbsp;experience&nbsp;with&nbsp;<strong>CI/CD</strong>&nbsp;tools&nbsp;such&nbsp;as&nbsp;GitHub&nbsp;Actions,&nbsp;GitLab&nbsp;CI,&nbsp;Jenkins,&nbsp;or&nbsp;equivalent.</p></li><li><p>Hands-on&nbsp;experience&nbsp;with&nbsp;<strong>Cloudflare</strong>,&nbsp;DNS,&nbsp;WAF,&nbsp;caching,&nbsp;and&nbsp;DDoS&nbsp;protection.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>Prometheus,&nbsp;Grafana,&nbsp;monitoring,&nbsp;alerting,&nbsp;and&nbsp;centralized&nbsp;logging</strong>.</p></li><li><p>Strong&nbsp;Infrastructure-as-Code&nbsp;experience&nbsp;with&nbsp;<strong>Terraform</strong>;&nbsp;CloudFormation&nbsp;is&nbsp;acceptable.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>Ansible</strong>&nbsp;or&nbsp;similar&nbsp;configuration-management&nbsp;tools.</p></li><li><p>Hands-on&nbsp;experience&nbsp;with&nbsp;<strong>Docker</strong>&nbsp;and&nbsp;containerized&nbsp;applications;&nbsp;Kubernetes&nbsp;familiarity&nbsp;is&nbsp;required.</p></li><li><p>Strong&nbsp;understanding&nbsp;of&nbsp;<strong>cloud&nbsp;security,&nbsp;IAM,&nbsp;secrets&nbsp;management,&nbsp;encryption,&nbsp;and&nbsp;network&nbsp;security</strong>.</p></li><li><p>Strong&nbsp;scripting&nbsp;skills&nbsp;in&nbsp;<strong>Bash&nbsp;and/or&nbsp;Python</strong>.</p></li><li><p>Basic&nbsp;understanding&nbsp;of&nbsp;<strong>blockchain&nbsp;and&nbsp;cryptocurrency&nbsp;infrastructure</strong>,&nbsp;including&nbsp;exchange&nbsp;connectivity,&nbsp;24/7&nbsp;availability,&nbsp;and&nbsp;secure&nbsp;handling&nbsp;of&nbsp;sensitive&nbsp;credentials/secrets.</p></li><li><p>Strong&nbsp;troubleshooting,&nbsp;documentation,&nbsp;and&nbsp;communication&nbsp;skills.</p></li></ul><p>Preferred&nbsp;Qualifications</p><ul><li><p>AWS&nbsp;certification&nbsp;such&nbsp;as&nbsp;<strong>AWS&nbsp;Solutions&nbsp;Architect,&nbsp;SysOps&nbsp;Administrator,&nbsp;or&nbsp;DevOps&nbsp;Engineer</strong>.</p></li><li><p>Experience&nbsp;supporting&nbsp;<strong>high-load,&nbsp;high-traffic,&nbsp;real-time&nbsp;production&nbsp;systems</strong>.</p></li><li><p>Experience&nbsp;in&nbsp;<strong>crypto&nbsp;exchanges,&nbsp;trading&nbsp;platforms,&nbsp;fintech,&nbsp;or&nbsp;other&nbsp;low-latency&nbsp;environments</strong>.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>low-latency&nbsp;networking,&nbsp;performance&nbsp;tuning,&nbsp;or&nbsp;exchange-proximity&nbsp;infrastructure</strong>.</p></li><li><p>Production&nbsp;experience&nbsp;with&nbsp;<strong>Kubernetes</strong>,&nbsp;service&nbsp;mesh,&nbsp;or&nbsp;advanced&nbsp;orchestration.</p></li><li><p>Exposure&nbsp;to&nbsp;<strong>Azure&nbsp;or&nbsp;multi-cloud&nbsp;environments</strong>.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>AWS&nbsp;Secrets&nbsp;Manager,&nbsp;HashiCorp&nbsp;Vault</strong>,&nbsp;or&nbsp;similar&nbsp;secrets-management&nbsp;platforms.</p></li><li><p>Experience&nbsp;working&nbsp;in&nbsp;<strong>24/7&nbsp;on-call&nbsp;and&nbsp;incident</strong></p></li></ul></li></ul><br><br>

Senior Machine Learning & Data Scientist<br>Position: Senior Machine Learning & Data Scientist <br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Machine Learning & Data Scientists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches. You'll apply your expertise across machine learning, data science, statistical modeling, and advanced analytics to assess AI outputs and provide technical feedback that improves model performance. No prior AI experience is required. Your machine learning and data science expertise are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated machine learning models, data analyses, and statistical solutions for accuracy and technical quality. Solve complex machine learning, statistical modeling, predictive analytics, and data science problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, training, validation, and evaluation. Analyze large datasets, predictive models, algorithms, and statistical methodologies to identify errors and inconsistencies. Evaluate model performance, experimentation results, and analytical methodologies using appropriate statistical and machine learning techniques. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, machine learning reasoning, and analytical capabilities. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications3+ years of professional experience in Machine Learning, Data Science, or a related quantitative field. Strong expertise in machine learning, statistical analysis, predictive modeling, and data analytics. Proficiency in Python and SQL, with experience using modern data science and machine learning libraries. Strong understanding of machine learning algorithms, probability, statistics, model evaluation, and experimental design. Experience developing, evaluating, or deploying machine learning models and data science solutions. Ability to assess AI-generated technical solutions and identify methodological issues, errors, and edge cases. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Experience working with LLMs, generative AI, AI agents, or AI model evaluation. Experience with deep learning, natural language processing, computer vision, or recommender systems. Familiarity with MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems. Experience with A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods. Prior experience with AI evaluation, technical review, data annotation, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

Senior Machine Learning & Data Scientist<br>Position: Senior Machine Learning & Data Scientist <br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Machine Learning & Data Scientists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches. You'll apply your expertise across machine learning, data science, statistical modeling, and advanced analytics to assess AI outputs and provide technical feedback that improves model performance. No prior AI experience is required. Your machine learning and data science expertise are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated machine learning models, data analyses, and statistical solutions for accuracy and technical quality. Solve complex machine learning, statistical modeling, predictive analytics, and data science problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, training, validation, and evaluation. Analyze large datasets, predictive models, algorithms, and statistical methodologies to identify errors and inconsistencies. Evaluate model performance, experimentation results, and analytical methodologies using appropriate statistical and machine learning techniques. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, machine learning reasoning, and analytical capabilities. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications3+ years of professional experience in Machine Learning, Data Science, or a related quantitative field. Strong expertise in machine learning, statistical analysis, predictive modeling, and data analytics. Proficiency in Python and SQL, with experience using modern data science and machine learning libraries. Strong understanding of machine learning algorithms, probability, statistics, model evaluation, and experimental design. Experience developing, evaluating, or deploying machine learning models and data science solutions. Ability to assess AI-generated technical solutions and identify methodological issues, errors, and edge cases. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Experience working with LLMs, generative AI, AI agents, or AI model evaluation. Experience with deep learning, natural language processing, computer vision, or recommender systems. Familiarity with MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems. Experience with A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods. Prior experience with AI evaluation, technical review, data annotation, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

Senior Full Stack AI Engineer / Founding Engineer Project: VORTIX – AI Restaurant Operating System Location: UAE (Abu Dhabi preferred) | Full-time ( REMOTE) Salary : AED 15-20k, depending on experience About VORTIXVORTIX is an AI-powered restaurant operating system built around a POS-first architecture with integrated Inventory, Procurement, Finance, HR, CRM, Marketing and AI agents. The platform follows an ERP-style modular architecture with a shared database, event-driven workflows, automated accounting, OCR, analytics and a digital twin for restaurant operations. This role is based on the attached workflow specification. fileciteturn0file0Role Summary We are looking for an exceptional Full Stack AI Engineer to become one of the founding technical team members. You will design, build and scale a modern Saa S platform from architecture through production. You will work directly with the founder, translate business requirements into production-ready software and leverage AI tools to accelerate development. Key Responsibilities• Design scalable backend architecture and APIs• Build responsive web application and admin dashboard• Develop AI-powered workflows, copilots and automation• Build POS, Inventory, Procurement, Finance, HR, CRM and Marketing modules• Design Postgre SQL data model, RBAC, audit logs and workflow engine• Build OCR, reporting, notifications and analytics• Integrate payment gateways, Whats App, email and third-party APIs• Optimize performance, security and cloud infrastructure• Write automated tests and CI/CD pipelines• Work closely with the founder to shape product strategy. Required Technical Skills Frontend: React / Next.js, Type Script, Tailwind CSSBackend: Node.js (Nest JS preferred) or Python (Fast API) Database: Postgre SQL, Redis Cloud: AWS or Azure Dev Ops: Docker, Git Hub Actions, Kubernetes (preferred) AI: Open AI APIs, Anthropic, Lang Chain/Llama Index, MCP, RAG, AI agents, prompt engineering Realtime: Web Sockets Authentication: OAuth, JWT, RBACIntegrations: REST, Graph QL, OCR, payment gateways, Whats App Business API. Nice to Have• ERP or restaurant technology experience• Foodics, Odoo or POS experience• Accounting or inventory systems knowledge• Experience building multi-tenant Saa S• Experience leading engineering teams. Success Profile• Product mindset• Excellent communication• Fast learner who uses AI to increase productivity• Strong ownership and problem-solving• Comfortable working in a startup environment. What We Offer• Opportunity to build a category-defining AI platform• Direct collaboration with the founder• High ownership and technical freedom• Competitive salary plus equity/performance incentives. Screening Questions• Describe the largest Saa S platform you have built.• Which AI frameworks have you used in production?• How would you design an event-driven ERP architecture?• How would you implement RBAC, audit trails and workflow approvals?• Share links to Git Hub and live projects.

instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.<br><br>With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey.<br><br>Job Description<br><br>We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations.<br><br>The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.<br><br>Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.<br><br>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations. Independently write and optimise SQL queries to extract and analyse large datasets. Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers. Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation. Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. Build dashboards and recurring reports using BI and visualisation tools. Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations. Ensure accuracy and reliability of analytical outputs.<br><br>AI in Analytics<br><br>The candidate should actively use AI as part of the analytics workflow, including:Accelerating SQL development, debugging, and analysis. Structuring analytical approaches and generating hypotheses. Automating repetitive reporting and analytical tasks. Improving insight generation, documentation, and stakeholder communication.<br><br>AI should enhance analytical thinking, not replace it.<br><br>Qualifications<br><br>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field. Strong hands-on SQL skills. Strong Excel / Google Sheets skills. Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar. Strong analytical, problem-solving, and structured thinking skills. Ability to translate data into clear business recommendations. Comfortable working with multiple stakeholders in a fast-paced environment. Practical exposure to generative AI tools in analytical workflows.<br><br>Nice to Have<br><br>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology. Exposure to Python. Understanding of A/B testing and experimentation. Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.

Role: Snowflake Data Engineer with Apache Airflow & DBT experience Experience: 10+ Years Location: Dubai (Hybrid/Onsite as per business requirement)<br>About the Role:We are seeking a highly skilled Snowflake Data Engineer with 10+ years of experience in designing, developing, and optimizing modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Snowflake, advanced SQL, and cloud data engineering practices, with mandatory experience in Apache Airflow and dbt (Data Build Tool). The role involves building scalable data pipelines, implementing ELT frameworks, optimizing data models, and supporting enterprise analytics initiatives.<br>Key Responsibilities:Design, develop, and maintain scalable data pipelines using Snowflake. Build and optimize ELT workflows using dbt. Develop and orchestrate data pipelines using Apache Airflow. Design and implement efficient data models to support analytical and business reporting requirements. Perform data ingestion from multiple structured and semi-structured data sources. Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse optimization. Develop reusable, scalable, and maintainable SQL transformations. Implement data quality checks, validation, and monitoring processes. Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to deliver robust data solutions. Troubleshoot production issues and ensure high availability of data pipelines. Follow best practices for version control, CI/CD, testing, and documentation.<br>Required Skills:10+ years of experience in Data Engineering. Strong hands-on experience with Snowflake. Advanced SQL programming and query optimization. Mandatory experience with Apache Airflow. Mandatory experience with dbt (Data Build Tool). Strong understanding of ETL/ELT concepts and modern data engineering practices. Experience building and maintaining enterprise-scale data pipelines. Proficiency in Python for data engineering and automation. Experience working with Git and version control. Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling). Experience working with structured and semi-structured data formats such as JSON, Parquet, and Avro. Strong analytical, debugging, and problem-solving skills.<br>Preferred Skills:Experience with Azure, AWS, or Google Cloud Platform. Exposure to data lake and lakehouse architectures. Experience with Azure Data Factory, Fivetran, Informatica, or similar integration tools. Knowledge of CI/CD pipelines and Dev Ops practices. Familiarity with Power BI, Tableau, or other BI platforms. Understanding of data governance, security, and access management within Snowflake. Snowflake certification is an added advantage.<br>Key Competencies:Snowflake Apache Airflowdbt SQLPython Data Engineering ETL/ELTData Modeling Performance Optimization Cloud Data Platforms Git CI/CDProblem Solving Team Collaboration Educational Qualification:Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.<br>Good to Have:Experience in Agile/Scrum environments. Strong communication and stakeholder management skills. Experience working on enterprise-scale data modernization or cloud migration projects.

Senior Full Stack AI Engineer / Founding Engineer Project: VORTIX – AI Restaurant Operating System Location: UAE (Abu Dhabi preferred) | Full-time ( REMOTE) Salary : AED 15-20k, depending on experience About VORTIXVORTIX is an AI-powered restaurant operating system built around a POS-first architecture with integrated Inventory, Procurement, Finance, HR, CRM, Marketing and AI agents. The platform follows an ERP-style modular architecture with a shared database, event-driven workflows, automated accounting, OCR, analytics and a digital twin for restaurant operations. This role is based on the attached workflow specification. fileciteturn0file0Role Summary We are looking for an exceptional Full Stack AI Engineer to become one of the founding technical team members. You will design, build and scale a modern Saa S platform from architecture through production. You will work directly with the founder, translate business requirements into production-ready software and leverage AI tools to accelerate development. Key Responsibilities• Design scalable backend architecture and APIs• Build responsive web application and admin dashboard• Develop AI-powered workflows, copilots and automation• Build POS, Inventory, Procurement, Finance, HR, CRM and Marketing modules• Design Postgre SQL data model, RBAC, audit logs and workflow engine• Build OCR, reporting, notifications and analytics• Integrate payment gateways, Whats App, email and third-party APIs• Optimize performance, security and cloud infrastructure• Write automated tests and CI/CD pipelines• Work closely with the founder to shape product strategy. Required Technical Skills Frontend: React / Next.js, Type Script, Tailwind CSSBackend: Node.js (Nest JS preferred) or Python (Fast API) Database: Postgre SQL, Redis Cloud: AWS or Azure Dev Ops: Docker, Git Hub Actions, Kubernetes (preferred) AI: Open AI APIs, Anthropic, Lang Chain/Llama Index, MCP, RAG, AI agents, prompt engineering Realtime: Web Sockets Authentication: OAuth, JWT, RBACIntegrations: REST, Graph QL, OCR, payment gateways, Whats App Business API. Nice to Have• ERP or restaurant technology experience• Foodics, Odoo or POS experience• Accounting or inventory systems knowledge• Experience building multi-tenant Saa S• Experience leading engineering teams. Success Profile• Product mindset• Excellent communication• Fast learner who uses AI to increase productivity• Strong ownership and problem-solving• Comfortable working in a startup environment. What We Offer• Opportunity to build a category-defining AI platform• Direct collaboration with the founder• High ownership and technical freedom• Competitive salary plus equity/performance incentives. Screening Questions• Describe the largest Saa S platform you have built.• Which AI frameworks have you used in production?• How would you design an event-driven ERP architecture?• How would you implement RBAC, audit trails and workflow approvals?• Share links to Git Hub and live projects.

instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.<br><br>With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey.<br><br>Job Description<br><br>We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations.<br><br>The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.<br><br>Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.<br><br>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations. Independently write and optimise SQL queries to extract and analyse large datasets. Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers. Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation. Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. Build dashboards and recurring reports using BI and visualisation tools. Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations. Ensure accuracy and reliability of analytical outputs.<br><br>AI in Analytics<br><br>The candidate should actively use AI as part of the analytics workflow, including:Accelerating SQL development, debugging, and analysis. Structuring analytical approaches and generating hypotheses. Automating repetitive reporting and analytical tasks. Improving insight generation, documentation, and stakeholder communication.<br><br>AI should enhance analytical thinking, not replace it.<br><br>Qualifications<br><br>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field. Strong hands-on SQL skills. Strong Excel / Google Sheets skills. Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar. Strong analytical, problem-solving, and structured thinking skills. Ability to translate data into clear business recommendations. Comfortable working with multiple stakeholders in a fast-paced environment. Practical exposure to generative AI tools in analytical workflows.<br><br>Nice to Have<br><br>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology. Exposure to Python. Understanding of A/B testing and experimentation. Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.

Role: Snowflake Data Engineer with Apache Airflow & DBT experience Experience: 10+ Years Location: Dubai (Hybrid/Onsite as per business requirement)<br>About the Role:We are seeking a highly skilled Snowflake Data Engineer with 10+ years of experience in designing, developing, and optimizing modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Snowflake, advanced SQL, and cloud data engineering practices, with mandatory experience in Apache Airflow and dbt (Data Build Tool). The role involves building scalable data pipelines, implementing ELT frameworks, optimizing data models, and supporting enterprise analytics initiatives.<br>Key Responsibilities:Design, develop, and maintain scalable data pipelines using Snowflake. Build and optimize ELT workflows using dbt. Develop and orchestrate data pipelines using Apache Airflow. Design and implement efficient data models to support analytical and business reporting requirements. Perform data ingestion from multiple structured and semi-structured data sources. Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse optimization. Develop reusable, scalable, and maintainable SQL transformations. Implement data quality checks, validation, and monitoring processes. Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to deliver robust data solutions. Troubleshoot production issues and ensure high availability of data pipelines. Follow best practices for version control, CI/CD, testing, and documentation.<br>Required Skills:10+ years of experience in Data Engineering. Strong hands-on experience with Snowflake. Advanced SQL programming and query optimization. Mandatory experience with Apache Airflow. Mandatory experience with dbt (Data Build Tool). Strong understanding of ETL/ELT concepts and modern data engineering practices. Experience building and maintaining enterprise-scale data pipelines. Proficiency in Python for data engineering and automation. Experience working with Git and version control. Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling). Experience working with structured and semi-structured data formats such as JSON, Parquet, and Avro. Strong analytical, debugging, and problem-solving skills.<br>Preferred Skills:Experience with Azure, AWS, or Google Cloud Platform. Exposure to data lake and lakehouse architectures. Experience with Azure Data Factory, Fivetran, Informatica, or similar integration tools. Knowledge of CI/CD pipelines and Dev Ops practices. Familiarity with Power BI, Tableau, or other BI platforms. Understanding of data governance, security, and access management within Snowflake. Snowflake certification is an added advantage.<br>Key Competencies:Snowflake Apache Airflowdbt SQLPython Data Engineering ETL/ELTData Modeling Performance Optimization Cloud Data Platforms Git CI/CDProblem Solving Team Collaboration Educational Qualification:Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.<br>Good to Have:Experience in Agile/Scrum environments. Strong communication and stakeholder management skills. Experience working on enterprise-scale data modernization or cloud migration projects.

About the Role ZTE is seeking an experienced Wireless Network Optimization Manager to join our international engineering team based in Dubai, UAE. This position will serve as the primary wireless optimization interface between ZTE and Airtel Group Headquarters, supporting network performance management across multiple African operating companies. The successful candidate will work closely with Airtel Group senior management and regional project teams to drive network quality improvement, coordinate cross-country optimization activities, and deliver technical value to one of Africa's leading telecommunications operators. Key Responsibilities Serve as the primary wireless optimization interface to Airtel Group Headquarters, working directly with the Group Wireless GM and technical management team. Monitor and analyze wireless network performance across Nigeria, Gabon, Uganda, and Rwanda, including KPI trends, network quality, optimization progress, and root cause analysis. Prepare and present Monthly Optimization Reports, Special Optimization Reports, Acceptance Reports, and executive-level technical presentations. Coordinate cross-functional teams, including country project teams, product experts, and technical support engineers, to resolve complex network issues and improve overall network performance. Provide short-term onsite support to African operating companies based on project requirements, including cluster optimization, network-wide optimization, and major event assurance. Define optimization responsibilities, establish RACI matrices, and monitor project execution to ensure KPI achievement and timely issue closure. Deliver customer training and knowledge transfer programs to strengthen Airtel's network optimization capabilities. Participate in executive-level technical discussions and provide recommendations on network evolution, performance improvement, and business value enhancement. Required Qualifications Bachelor's degree or above in Telecommunications, Electronic Engineering, Computer Science, or a related field. Minimum 8 years of hands-on wireless network optimization experience covering 2G, 3G, 4G, and 5G technologies. Experience leading or playing a key role in at least three large-scale international wireless optimization projects involving more than 500 sites. Strong knowledge of 3GPP standards, radio parameter optimization, interference analysis, DT/CQT testing, KPI monitoring, and end-to-end optimization processes. Hands-on experience with wireless optimization platforms from leading vendors such as ZTE, Huawei, Ericsson, or Nokia. Proficiency with drive test and optimization tools including TEMS, NEMO, Actix, or equivalent. Experience with Python and SQL scripting for network automation and data analysis is an advantage. Excellent English communication skills with the ability to prepare technical documentation and deliver presentations to senior customer management. Preferred Qualifications Previous experience supporting Airtel or other Tier-1 telecom operators. Experience in Africa and/or Middle East wireless network optimization projects. PMP, CCNP Wireless, or advanced wireless optimization certifications from ZTE, Huawei, Ericsson, or Nokia. French language proficiency is a plus, especially for supporting French-speaking markets such as Gabon.

About the Role ZTE is seeking an experienced Wireless Network Optimization Manager to join our international engineering team based in Dubai, UAE. This position will serve as the primary wireless optimization interface between ZTE and Airtel Group Headquarters, supporting network performance management across multiple African operating companies. The successful candidate will work closely with Airtel Group senior management and regional project teams to drive network quality improvement, coordinate cross-country optimization activities, and deliver technical value to one of Africa's leading telecommunications operators. Key Responsibilities Serve as the primary wireless optimization interface to Airtel Group Headquarters, working directly with the Group Wireless GM and technical management team. Monitor and analyze wireless network performance across Nigeria, Gabon, Uganda, and Rwanda, including KPI trends, network quality, optimization progress, and root cause analysis. Prepare and present Monthly Optimization Reports, Special Optimization Reports, Acceptance Reports, and executive-level technical presentations. Coordinate cross-functional teams, including country project teams, product experts, and technical support engineers, to resolve complex network issues and improve overall network performance. Provide short-term onsite support to African operating companies based on project requirements, including cluster optimization, network-wide optimization, and major event assurance. Define optimization responsibilities, establish RACI matrices, and monitor project execution to ensure KPI achievement and timely issue closure. Deliver customer training and knowledge transfer programs to strengthen Airtel's network optimization capabilities. Participate in executive-level technical discussions and provide recommendations on network evolution, performance improvement, and business value enhancement. Required Qualifications Bachelor's degree or above in Telecommunications, Electronic Engineering, Computer Science, or a related field. Minimum 8 years of hands-on wireless network optimization experience covering 2G, 3G, 4G, and 5G technologies. Experience leading or playing a key role in at least three large-scale international wireless optimization projects involving more than 500 sites. Strong knowledge of 3GPP standards, radio parameter optimization, interference analysis, DT/CQT testing, KPI monitoring, and end-to-end optimization processes. Hands-on experience with wireless optimization platforms from leading vendors such as ZTE, Huawei, Ericsson, or Nokia. Proficiency with drive test and optimization tools including TEMS, NEMO, Actix, or equivalent. Experience with Python and SQL scripting for network automation and data analysis is an advantage. Excellent English communication skills with the ability to prepare technical documentation and deliver presentations to senior customer management. Preferred Qualifications Previous experience supporting Airtel or other Tier-1 telecom operators. Experience in Africa and/or Middle East wireless network optimization projects. PMP, CCNP Wireless, or advanced wireless optimization certifications from ZTE, Huawei, Ericsson, or Nokia. French language proficiency is a plus, especially for supporting French-speaking markets such as Gabon.

Job Description<br><br>About Wynn Al Marjan Island:<br><br>On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.<br><br>About The Position<br><br>Wynn Al Marjan Island is looking for a Machine Learning Operations Engineer to join our Database Marketing team.<br><br>Responsibilities<br><br>The primary duties and responsibilities of this role are:<br><br> Deploy, monitor, and maintain machine learning models used across gaming marketing and player analytics. Operationalize Data Science outputs by building automated pipelines for scoring, segmentation, and campaign ready datasets. Ensure high reliability and uptime for model workflows, including job scheduling, error detection, and alerting. Collaborate with Data Scientists to productionize new models, optimize runtime performance, and improve stability. Build and maintain data pipelines supporting model features, input refreshes, and scheduled scoring processes. Implement QA processes to identify data drift, model degradation, and operational anomalies. Maintain version control and documentation for models, pipelines, and deployment procedures. Partner with Campaign Operations to ensure model outputs align with business logic, targeting requirements, and production schedules. Work with IT and infrastructure teams on compute resources, storage, and system performance. Support model retraining cycles, testing, and controlled rollouts of updated logic. Ensure compliance with internal data governance and security standards. <br><br>About You<br><br> Master’s or PhD in Computer Science, Engineering, Data Science, Statistics or a related technical field required. 5+ years of experience in Data Science, ML Ops, data engineering, or production‑level machine learning environments. Strong experience with Python, SQL, and workflow orchestration tools (Airflow or similar). Experience working with cloud-based data platforms. Familiarity with machine learning model lifecycle management, CI/CD pipelines, and version control (Git). Able to translate analytical requirements into stable, production‑ready workflows. Comfortable working in fast‑paced environments with daily and weekly operational deliverables. <br><br>About Wynn Al Marjan Island’s Benefits<br><br>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

Dev Ops Engineer<br><br>Who We Are!<br><br>Back in 2019, spider Silk was born with a bold idea: build regional, sovereign cybersecurity IP that could stand tall on the global stage.<br><br>Our mission? To shake up the way organizations protect their ever-changing digital worlds with continuous, intelligent, and autonomous security that doesn’t miss a beat.<br><br>We’re a global mix of curious minds, problem-solvers, and passionate builders, all united by one goal: making the internet a safer place for everyone. Around here, we thrive on vision, energy, and a strong sense of ownership.<br><br>If this feels like your kind of crew, you’ll probably fit right in.<br><br>About The Role<br><br>As a Dev Ops Engineer at spider Silk, you will play a pivotal role in optimizing our development and deployment pipelines, ensuring high availability, security, and scalability of the infrastructure powering our cutting-edge cybersecurity products. You’ll work at the intersection of engineering and operations, driving automation, resilience, and efficiency across our systems while fostering a culture of continuous improvement.<br><br>Responsibilities<br><br>Design, build, and maintain robust CI/CD pipelines and cloud infrastructure to accelerate software delivery. Monitor system performance, troubleshoot issues, and proactively respond to incidents to minimize downtime. Collaborate closely with software engineers to enable rapid, secure, and reliable releases. Automate deployment, testing, and scaling processes to enhance operational efficiency. Implement Infrastructure as Code (IaC) and cloud security best practices to ensure compliance and reduce risk. Optimize system reliability and performance through proactive capacity planning and tuning. Champion Dev Ops best practices, including observability, disaster recovery, and cost optimization. Stay ahead of emerging technologies and evaluate new tools to improve our tech stack.<br><br>Requirements<br><br>7+ years of hands-on experience in Dev Ops, SRE, or Cloud Engineering, preferably in fast-paced environments. Strong expertise with tools like Kubernetes, Docker, Ansible, Terraform, and CI/CD platforms (e.g., Jenkins, Git Lab CI, Git Hub Actions). Proven experience in scaling applications and databases (SQL & NoSQL) for high-traffic workloads. Familiarity with AI/ML tools that enhance operations and development (e.g., AI-driven monitoring, automated anomaly detection). Deep proficiency in cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and hybrid/multi-cloud architectures. Strong scripting/programming skills in Python, Bash, or Go for automation and tooling. Solid understanding of networking, Linux systems, and security principles (e.g., zero-trust, IAM, secrets management). A startup mindset—self-driven, adaptable, and passionate about building impactful products in a collaborative environment.<br><br>Nice To Have<br><br>Experience with cybersecurity tools and compliance frameworks (e.g., SOC2, ISO 27001). Knowledge of observability stacks (Prometheus, Grafana, ELK, Open Telemetry). Contributions to open-source projects or a strong technical blog/portfolio.

Role Overview<br><br>We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and deploy advanced artificial intelligence solutions. This role involves working across the full AI lifecycle—from research and model development to production deployment and optimization—while collaborating with cross-functional teams to drive innovation and business impact.<br><br>Key Responsibilities<br><br>Design, develop, and deploy scalable AI and machine learning models. Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment. Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI. Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems. Optimize models for performance, scalability, and cost-efficiency. Research and evaluate emerging AI technologies and frameworks to drive continuous innovation. Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps). Mentor junior engineers and provide technical leadership within the team. Ensure ethical AI practices, fairness, and compliance with relevant regulations. <br><br>Required Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus). 7+ years of experience in AI/ML engineering or related roles. Strong programming skills in Python (and/or Java, C++). Hands-on experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar. Proven experience deploying ML models into production environments. Solid understanding of statistics, algorithms, and data structures. Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices. Proficiency in data processing tools such as SQL, Spark, or Hadoop. Experience with generative AI, including large language models (LLMs) and transformer-based architectures. <br><br>Key Skills<br><br>Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to translate business requirements into scalable AI solutions Leadership and mentoring capabilities <br><br>Gen AI & Advanced AI Skills <br><br>Experience developing Agentic AI workflows Strong understanding of the Agentic AI pipeline, including:Agent runtimes Memory management Agentic architectures LLMOps concepts Hands-on experience with:Retrieval-Augmented Generation (RAG) LLM fine-tuning techniques Experience with Gen AI tools and frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index, etc.) <br><br>Preferred Qualifications<br><br>Experience with model serving frameworks and APIs (e.g., Fast API, Flask). Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with CI/CD pipelines and Dev Ops practices. Exposure to data engineering or big data ecosystems. Domain experience (e.g., finance, healthcare, retail, telecom) is a plus. <br><br>Senior AI Engineer in Abu Dhabi, United Arab Emirates